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DOC: Fix minor typos in docstrings (#2203)
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@@ -60,7 +60,7 @@ Affine transformations
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.. method:: GeoSeries.scale(self, xfact=1.0, yfact=1.0, zfact=1.0, origin='center')
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Scale the geometries of the :class:`~geopandas.GeoSeries` along each (x, y, z) dimensio.
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Scale the geometries of the :class:`~geopandas.GeoSeries` along each (x, y, z) dimension.
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.. method:: GeoSeries.skew(self, angle, origin='center', use_radians=False)
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+1
-1
@@ -1182,7 +1182,7 @@ class GeometryArray(ExtensionArray):
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Returns
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-------
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values : ndarray
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An array suitable for factoraization. This should maintain order
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An array suitable for factorization. This should maintain order
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and be a supported dtype (Float64, Int64, UInt64, String, Object).
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By default, the extension array is cast to object dtype.
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na_value : object
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+2
-2
@@ -974,7 +974,7 @@ GeometryCollection
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other : GeoSeries or geometric object
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The GeoSeries (elementwise) or geometric object to compare to.
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decimal : int
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Decimal place presion used when testing for approximate equality.
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Decimal place precision used when testing for approximate equality.
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align : bool (default True)
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If True, automatically aligns GeoSeries based on their indices.
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If False, the order of elements is preserved.
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@@ -1042,7 +1042,7 @@ GeometryCollection
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other : GeoSeries or geometric object
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The GeoSeries (elementwise) or geometric object to compare to.
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tolerance : float
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Decimal place presion used when testing for approximate equality.
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Decimal place precision used when testing for approximate equality.
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align : bool (default True)
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If True, automatically aligns GeoSeries based on their indices.
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If False, the order of elements is preserved.
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@@ -526,7 +526,7 @@ GON (((180.00000 -16.06713, 180.00000...
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]
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gdf = gdf.drop(columns=non_active_geoms)
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# preprare tooltip and popup
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# prepare tooltip and popup
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if isinstance(gdf, geopandas.GeoDataFrame):
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# add named index to the tooltip
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if gdf.index.name is not None:
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@@ -1510,7 +1510,7 @@ individually so that features may have different properties
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See also
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--------
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GeoDataFrame.explode : explode muti-part geometries into single geometries
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GeoDataFrame.explode : explode multi-part geometries into single geometries
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"""
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@@ -1553,7 +1553,7 @@ individually so that features may have different properties
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# overrides the pandas native explode method to break up features geometrically
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def explode(self, column=None, ignore_index=False, index_parts=None, **kwargs):
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"""
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Explode muti-part geometries into multiple single geometries.
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Explode multi-part geometries into multiple single geometries.
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Each row containing a multi-part geometry will be split into
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multiple rows with single geometries, thereby increasing the vertical
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@@ -2041,7 +2041,7 @@ countries_w_city_data[countries_w_city_data["name_left"] == "Italy"]
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Notes
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-----
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Since this join relies on distances, results will be innaccurate
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Since this join relies on distances, results will be inaccurate
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if your geometries are in a geographic CRS.
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Every operation in GeoPandas is planar, i.e. the potential third
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@@ -26,7 +26,7 @@ def df_nybb():
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@pytest.fixture()
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def connection_postgis():
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"""
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Initiaties a connection to a postGIS database that must already exist.
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Initiates a connection to a postGIS database that must already exist.
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See create_postgis for more information.
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"""
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psycopg2 = pytest.importorskip("psycopg2")
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@@ -51,7 +51,7 @@ def connection_postgis():
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@pytest.fixture()
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def engine_postgis():
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"""
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Initiaties a connection engine to a postGIS database that must already exist.
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Initiates a connection engine to a postGIS database that must already exist.
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"""
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sqlalchemy = pytest.importorskip("sqlalchemy")
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from sqlalchemy.engine.url import URL
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+1
-1
@@ -453,7 +453,7 @@ if compat.HAS_RTREE:
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# handle empty / invalid geometries
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if geometry is None:
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# return an empty integer array, similar to pygeys.STRtree.query.
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# return an empty integer array, similar to pygeos.STRtree.query.
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return np.array([], dtype=np.intp)
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if not isinstance(geometry, BaseGeometry):
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@@ -62,7 +62,7 @@ class TestExplore:
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assert "openstreetmap" in m.to_dict()["children"].keys()
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def test_map_settings_custom(self):
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"""Check custom map settins"""
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"""Check custom map settings"""
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m = self.nybb.explore(
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zoom_control=False,
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width=200,
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@@ -413,7 +413,7 @@ class TestExplore:
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assert "BoroName" in out_str
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def test_default_markers(self):
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# check overriden default for points
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# check overridden default for points
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m = self.cities.explore()
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strings = ['"radius":2', '"fill":true', "CircleMarker(latlng,opts)"]
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out_str = self._fetch_map_string(m)
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@@ -542,7 +542,7 @@ class TestExplore:
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assert out_str.count("#5ec962ff") == 100
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assert out_str.count("#fde725ff") == 100
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# scale legend accorrdingly
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# scale legend accordingly
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m = self.world.explore(
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"pop_est",
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legend=True,
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@@ -293,7 +293,7 @@ class TestDtype(extension_tests.BaseDtypeTests):
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class TestInterface(extension_tests.BaseInterfaceTests):
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def test_array_interface(self, data):
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# we are overriding this base test because the creation of `expected`
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# potentionally doesn't work for shapely geometries
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# potentially doesn't work for shapely geometries
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# TODO can be removed with Shapely 2.0
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result = np.array(data)
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assert result[0] == data[0]
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@@ -412,7 +412,7 @@ def test_missing_values():
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def test_isna_empty_geoseries():
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# ensure that isna() result for emtpy GeoSeries has the correct bool dtype
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# ensure that isna() result for empty GeoSeries has the correct bool dtype
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s = GeoSeries([])
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result = s.isna()
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assert_series_equal(result, pd.Series([], dtype="bool"))
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@@ -88,7 +88,7 @@ def test_repr_empty():
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def test_indexing(s, df):
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# accessing scalar from the geometry (colunm)
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# accessing scalar from the geometry (column)
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exp = Point(1, 1)
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assert s[1] == exp
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assert s.loc[1] == exp
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@@ -241,7 +241,7 @@ def test_astype(s, df):
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res = df.astype({"value1": float})
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assert isinstance(res, GeoDataFrame)
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# check whether returned object is a datafrane
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# check whether returned object is a dataframe
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res = df.astype(str)
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assert isinstance(res, pd.DataFrame) and not isinstance(res, GeoDataFrame)
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@@ -107,7 +107,7 @@ stria AUT 416600.0
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"A non-default value for `predicate` was passed"
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f' (got `predicate="{predicate}"`'
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f' in combination with `op="{op}"`).'
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" The value of `predicate` will be overriden by the value of `op`,"
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" The value of `predicate` will be overridden by the value of `op`,"
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" , which may result in unexpected behavior."
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f"\n{deprecation_message}"
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)
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@@ -503,7 +503,7 @@ countries_w_city_data[countries_w_city_data["name_left"] == "Italy"]
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Notes
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-----
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Since this join relies on distances, results will be innaccurate
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Since this join relies on distances, results will be inaccurate
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if your geometries are in a geographic CRS.
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Every operation in GeoPandas is planar, i.e. the potential third
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@@ -137,7 +137,7 @@ class TestSpatialJoin:
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if op != predicate:
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warntype = UserWarning
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match = (
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"`predicate` will be overriden by the value of `op`"
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"`predicate` will be overridden by the value of `op`"
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+ r"(.|\s)*"
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+ match
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)
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+2
-2
@@ -836,7 +836,7 @@ def render_pep440_old(pieces):
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The ".dev0" means dirty.
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Eexceptions:
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Exceptions:
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1: no tags. 0.postDISTANCE[.dev0]
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"""
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if pieces["closest-tag"]:
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@@ -1302,7 +1302,7 @@ def render_pep440_old(pieces):
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The ".dev0" means dirty.
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Eexceptions:
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Exceptions:
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1: no tags. 0.postDISTANCE[.dev0]
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"""
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if pieces["closest-tag"]:
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